Skip to main content

Graphical User Interface for machine learning classification algorithms from scikit-learn

Project description

ClassificaIO

This repository contains ClassificaIO, a Python package that provides a graphical user (GUI) for machine learning classification algorithms from scikit-learn.

ClassificaIO Installation Instructions

A. INSTALLATION

Installation Instructions

1. Mac or Windows

To install the current ClassificaIO release use pip:

pip install ClassificaIO

Alternatively, you can install directly from github using:

pip install git+https://github.com/gmiaslab/ClassificaIO/

2. Linux

First install the current release of tkinter and pip

sudo apt-get install python3-tk
sudo apt-get install python3-pip

To install the current ClassificaIO release use pip

pip3 install ClassificaIO

Alternatively, you can install directly from github using:

pip3 install git+https://github.com/gmiaslab/ClassificaIO/

B. RUNNING ClassificaIO

After installation you can run:

>>> from ClassificaIO import ClassificaIO
>>> ClassificaIO.gui()

C. DOCUMENTATION

Documentation for ClassificaIO is provided in the manual, available online at: * https://github.com/gmiaslab/manuals/blob/master/ClassificaIO/ClassificaIO_UserManual.pdf

The manual can also be accessed directly through the Help menu in ClassificaIO that points to the above location.

D. LICENSING

ClassificaIO is provided under an MIT license.

E. OTHER CONTACT INFORMATION

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ClassificaIO-1.1.2.tar.gz (423.1 kB view details)

Uploaded Source

File details

Details for the file ClassificaIO-1.1.2.tar.gz.

File metadata

File hashes

Hashes for ClassificaIO-1.1.2.tar.gz
Algorithm Hash digest
SHA256 374748eb770386195a8a86bbe9525b52b79ff7f076d8110b4eae76c37dd5dc1d
MD5 097846575d5deb7eb72a1cd382f834cd
BLAKE2b-256 5fd28589edfd1ea4cafeb70a901e95a1f8522e4db7d5bb3a55cfbc9de57ac8df

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page